Correlation Between Jefferies Financial and Public Storage
Can any of the company-specific risk be diversified away by investing in both Jefferies Financial and Public Storage at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Jefferies Financial and Public Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jefferies Financial Group and Public Storage, you can compare the effects of market volatilities on Jefferies Financial and Public Storage and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Jefferies Financial with a short position of Public Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jefferies Financial and Public Storage.
Diversification Opportunities for Jefferies Financial and Public Storage
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Jefferies and Public is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Jefferies Financial Group and Public Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Public Storage and Jefferies Financial is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Jefferies Financial Group are associated (or correlated) with Public Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Public Storage has no effect on the direction of Jefferies Financial i.e., Jefferies Financial and Public Storage go up and down completely randomly.
Pair Corralation between Jefferies Financial and Public Storage
Assuming the 90 days trading horizon Jefferies Financial Group is expected to generate 1.69 times more return on investment than Public Storage. However, Jefferies Financial is 1.69 times more volatile than Public Storage. It trades about 0.14 of its potential returns per unit of risk. Public Storage is currently generating about -0.04 per unit of risk. If you would invest 37,055 in Jefferies Financial Group on October 23, 2024 and sell it today you would earn a total of 9,005 from holding Jefferies Financial Group or generate 24.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Jefferies Financial Group vs. Public Storage
Performance |
Timeline |
Jefferies Financial |
Public Storage |
Jefferies Financial and Public Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jefferies Financial and Public Storage
The main advantage of trading using opposite Jefferies Financial and Public Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jefferies Financial position performs unexpectedly, Public Storage can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Public Storage will offset losses from the drop in Public Storage's long position.Jefferies Financial vs. Consrcio Alfa de | Jefferies Financial vs. Consrcio Alfa de | Jefferies Financial vs. Financeira Alfa SA | Jefferies Financial vs. Patria Investments Limited |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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